{"url":"/dataset/cross-dataset-testbed","name":"Cross-Dataset Testbed","full_name":"Cross-Dataset Testbed","description_markdown":"The Cross-dataset Testbed is a Decaf7 based cross-dataset image classification dataset, which contains 40 categories of images from 3 domains: 3,847 images in Caltech256, 4,000 images in ImageNet, and 2,626 images for SUN. In total there are 10,473 images of 40 categories from these three domains.\n\nSource: [Probability Weighted Compact Feature for Domain Adaptive Retrieval](https://arxiv.org/abs/2003.03293)\nImage Source: [https://sites.google.com/site/crossdataset/](https://sites.google.com/site/crossdataset/)","description_withheld":null,"homepage":"https://sites.google.com/site/crossdataset/","introduced_date":"2014-01-01","introduced_date_note":null,"introduced_by":{"paper":"/paper/a-testbed-for-cross-dataset-analysis","title":"A Testbed for Cross-Dataset Analysis","first_author":"Tatiana Tommasi","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Domain Adaptation","url":"/task/domain-adaptation","datasets_with_task":"/datasets/task/domain-adaptation"},{"name":"Unsupervised Domain Adaptation","url":"/task/unsupervised-domain-adaptation","datasets_with_task":"/datasets/task/unsupervised-domain-adaptation"}],"languages":[],"variants":["Cross-Dataset Testbed"],"data_loaders":[],"num_papers_in_archive":7,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}